Classification of 12-lead ECGs: The PhysioNet/Computing in Cardiology Challenge 2020 1.0.2

File: <base>/training/georgia/g1/E00283.hea (715 bytes) 
E00283 12 500 5000
E00283.mat 16x1+24 1000.0(0)/mV 16 0 4 29756 0 I
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -14 13776 0 II
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -19 -15872 0 III
E00283.mat 16x1+24 1000.0(0)/mV 16 0 4 10678 0 aVR
E00283.mat 16x1+24 1000.0(0)/mV 16 0 12 -10163 0 aVL
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -17 -972 0 aVF
E00283.mat 16x1+24 1000.0(0)/mV 16 0 151 -6451 0 V1
E00283.mat 16x1+24 1000.0(0)/mV 16 0 131 -23707 0 V2
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -112 32234 0 V3
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -131 -15301 0 V4
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -195 -18624 0 V5
E00283.mat 16x1+24 1000.0(0)/mV 16 0 -14 2348 0 V6
# Age: 61
# Sex: Female
# Dx: 426783006
# Rx: Unknown
# Hx: Unknown